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Published in 2024 at "Chaos"
DOI: 10.1063/5.0219075
Abstract: Brain-like dynamics require third-order or higher-order complexity. In order to investigate the coupling neuromorphic behaviors of identical third-order memristive neurons, this paper begins with the aim of exploring two identical neuron based dynamics under distinct…
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Keywords:
dynamics locally;
locally active;
memristive neurons;
coupling dynamics ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2021.3130938
Abstract: Locally-active memristor (LAM) is one of the promising candidates of artificial neurons, indicating it has potential applications in neuromorphic computing. Quantitative theoretical analysis on LAMs can provide benefits for designing related oscillator circuits and systems.…
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Keywords:
active memristors;
locally active;
dynamics analysis;
universal dynamics ... See more keywords
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Published in 2023 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3211946
Abstract: Locally-active memristors (LAMs) have broad application prospects in neuromorphic computing due to their nanoscale, low-power consumption, and local activity. A LAM combined with a DC bias and a reactance element (capacitor or inductor) can form…
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Keywords:
reactance;
less oscillator;
reactance less;
active memristors ... See more keywords
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Published in 2025 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2025.3606973
Abstract: Translating the complex dynamics of biological nervous systems into engineered models is crucial for understanding the essence of intelligence and creating human-like artificial intelligence. This article presents a four-dimensional memristive Morris-Lecar model, constructed by coupling…
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Keywords:
locally active;
morris lecar;
slow dynamics;
model ... See more keywords
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Published in 2025 at "Journal of Low Power Electronics and Applications"
DOI: 10.3390/jlpea15040062
Abstract: Neuromorphic circuits emulate the brain’s massively parallel, energy-efficient, and robust information processing by reproducing the behavior of neurons and synapses in dense networks. Memristive technologies have emerged as key enablers of such systems, offering compact…
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Keywords:
circuit;
locally active;
parameter;
order locally ... See more keywords